查看更多>>摘要：New research on Oncology - Bladder Cancer is the subject of a report. According to news reporting originating in Wuhan, People's Republic of China, by NewsRx journalists, research stated, "Bladder cancer is 1 of the 10 most common cancers in the world. However, the relationship between diabetes, hypertension and bladder cancer are still controversial, limited study used machine learning models to predict the development of bladder cancer." The news reporters obtained a quote from the research from Wuhan Fourth Hospital, "This study aimed to explore the association between diabetes, hypertension and bladder cancer, and build predictive models of bladder cancer. A total of 1789 patients from the National Health and Nutrition Examination Survey were enrolled in this study. We examined the association between diabetes, hypertension and bladder cancer using multivariate logistic regression model, after adjusting for confounding factors. Four machine learning models, including extreme gradient boosting (XGBoost), Artificial Neural Networks, Random Forest and Support Vector Machine were compared to predict for bladder cancer. Model performance was assessed by examining the area under the subject operating characteristic curve, accuracy, recall, specificity, precision, and F1 score. The mean age of bladder cancer group was older than that of the non-bladder cancer (74.4 with increased risk of bladder cancer (odds ratio = 1.24, 95%confidence interval [95%CI]: 1.17-3.02). The XGBoost model was the best algorithm for predicting bladder cancer; an accuracy and kappa value was 0.978 with 95%CI:0.976 to 0.986 and 0.01 with 95%CI:0.01 to 0.52, respectively. The sensitivity was 0.90 (95%CI:0.74-0.97) and the area under the curve was 0.78."
查看更多>>摘要：New study results on robotics have been published. According to news reporting out of Phnom Penh, Cambodia, by NewsRx editors, research stated, "This paper presents a stability analysis based on the Zero Moment Point (ZMP) concept during the reconfiguration of a Cable-Driven Parallel Robot (CDPR) using three mobile bases. Each mobile base can be driven forward and backward, and it has a crane that can be moved up and down, to which a cable connected to the end effector is attached." Funders for this research include Institut Teknologi Sepuluh Nopember Under The Publication Writing And Intellectual Property Rights (Ipr) Incentive Program (Pphki) 2024.
查看更多>>摘要：Fresh data on Artificial Intelligence are presented in a new report.To attain the overall objectives of this study, we used the systematic literature review (SLR) method."Financial support for this research came from National Natural Science Foundation of China (NSFC).
查看更多>>摘要：Investigators discuss new findings in robotics. According to news reporting out of Witten, Germany, by NewsRx editors, research stated, "The idea of artificially created social robots has a long tradition. Today, attitudes towards robots play a central role in the field of healthcare." The news correspondents obtained a quote from the research from Witten-Herdecke University: "Our research aimed to develop a scale to measure attitudes towards robots. The survey consisted of nine questions on attitudes towards robots, sociodemographic questions, the SWOP-K9, measuring self-efficacy, optimism, and pessimism, and the BFI-10, measuring personality dimensions. Structural relations between the items were detected using principal components analysis (PCA) with Varimax rotation. Correlations and Analysis of Variance were used for external validation. In total, 214 participants (56.1% female, mean age: 30.8 ± 14.4 years) completed the survey. The PCA found two main components, "Robot as a helper and assistant" (RoHeA) and "Robot as an equal partner" (RoEqP), with four items each explaining 53.2% and 17.5% of the variance with a Cronbach's a of 0.915 and 0.768. In the personality traits, "Conscientiousness" correlated weakly with both subscales and "Extraversion" correlated with RoHeA, while none the subscales of the SWOP-K9 significantly correlated with RoEqP or RoHeA. Male participants scored significantly higher than female participants."
查看更多>>摘要：Investigators publish new report on Machine Learning. According to news reporting out of Beijing, People's Republic of China, by NewsRx editors, research stated, "Accurate mapping of large-scale grassland types is important for grassland and water resources management. The similarity of spectral characteristics between grassland types lowers the classification accuracy of different grassland types." Financial support for this research came from National Natural Science Foundation of China (NSFC). Our news journalists obtained a quote from the research from Capital Normal University, "To improve the classification accuracy of large-scale grasslands, this study proposed a new framework which integrates Sentinel-2 images with DEM and climate zones data. In this framework, optimal spectral-phenologicaltopographic features are fed into Random Forest (RF) model based on Google Earth Engine (GEE) platform. The proposed framework was applied in Inner Mongolia, China. A grassland map of the region was obtained with an overall accuracy (OA) exceeding 80 %, which is higher than the OA (60 %-70 %) of current largescale grassland type classification studies. In WIM (Western Inner Mongolia) and NEIM (Northeast Inner Mongolia), the OA reaches 96.97 % and 95.85 %, respectively. SWIR2 band and elevation have a clear advantage in distinguishing different grassland types. Compared to 1980s, the area of temperate meadow steppe (TMS) and temperate desert steppe (TDS) have increased by 111.94 % and 126.00 %, respectively."
查看更多>>摘要：New research on Mental Health Diseases and Conditions - Schizophrenia is the subject of a report. According to news reporting from Stockholm, Sweden, by NewsRx journalists, research stated, "While an association between the gut microbiome and schizophrenia spectrum disorders (SSD) has been suggested, the existing evidence is still inconclusive. To this end, we analyzed bacteria and bacterial genes in feces from 52 young adult SSD patients and 52 controls using fecal shotgun metagenomic sequencing."
查看更多>>摘要：Current study results on Machine Learning have been published. According to news originating from Hawthorn, Australia, by NewsRx editors, the research stated, "Molecular simulation that encompasses both Monte Carlo and molecular dynamics methods, coupled with ever-increasing computing power, has provided very valuable insights linking the nature of intermolecular interactions directly to the macroscopic properties of materials. In contrast, machine learning can be used to predict molecular properties by finding patterns in data rather than directly evaluating molecular interactions." Our news journalists obtained a quote from the research from the Swinburne University of Technology, "Suitable machine learning approaches for molecules include supervised, unsupervised, reinforcement, and deep learning, with the latter commonly using neural net algorithms. There is considerable overlap in the scope of application of the two approaches, which can be combined for maximum benefit. Careful integration of machine learning with molecular simulation also means that the hypothesis-centered approach of the latter can be both maintained and enhanced. Using machine learning with molecular simulation offers gains in computational efficiency, predictive capabilities, and generalizability. However, the blackbox nature of machine learning provides challenges of interpretability and transparency. Data quality, generalizability, and peer review are also issues that require attention."
查看更多>>摘要：Investigators discuss new findings in Machine Learning - Intelligent Systems. According to news reporting out of Shenzhen, People's Republic of China, by NewsRx editors, research stated, "During the flyby mission of small celestial bodies in deep space, it is hard for spacecraft to take photos at proper positions only rely on ground-based scheduling, due to the long communication delay and environment uncertainties. Aimed at imaging properly, an autonomous imaging policy generated by the scheduling networks that based on deep reinforcement learning is proposed in this paper." Financial supporters for this research include National Natural Science Foundation of China (NSFC), National Natural Science Foundation of China (NSFC), Basic Scientific Research Project.
查看更多>>摘要：New study results on artificial intelligence have been published. According to news originating from Russian State Agrarian University - Moscow Timiryazev Agricultural Academy by NewsRx correspondents, research stated, "Modernization of the finite element model is currently the basic tool for refining the numerical solution of modeling problems by adjusting the numerical response to the observed empirical behavior of the system." The news correspondents obtained a quote from the research from Russian State Agrarian University - Moscow Timiryazev Agricultural Academy: "Recently, the modification of the model in some cases is carried out using the maximum likelihood method. Following this approach, the update problem can be transformed into a multiobjective optimization problem. Due to the non-trivial non-linear behavior of the desired objective functions, metaheuristic optimization algorithms are usually used to solve such an optimization problem. However, despite the fact that recently this method has proven itself quite well, nevertheless, there are two significant drawbacks that must be eliminated for the practical application of this method. Among which are the length of time spent on the calculation of the problem and the uncertainty associated with choosing the most optimal updated model among all Pareto optimal solutions. To circumvent these limitations, this paper proposes to apply a new joint algorithm that takes advantage of the joint relationship between two optimization algorithms, a machine learning method, and a statistical toolkit."
查看更多>>摘要：A new study on Gram-Negative Bacterial Infections - Leptospirosis is now available. According to news reporting originating in Noumea, New Caledonia, by NewsRx journalists, research stated, "Leptospirosis is a zoonosis caused by Leptospira bacteria present in the urine of mammals. Leptospira is able to survive in soils and can be resuspended during rain events." Financial supporters for this research include Agence Nationale de la Recherche (ANR), Northern Province of New Caledonia.
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